Artificial intelligence eye disease screening service method and system

Abstract

The invention relates to an artificial intelligence eye disease screening service method and a system, in which the method includes acquiring the ophthalmic examination data of a user, in which the ophthalmic examination data is obtained by a technician in a primary hospital through an ophthalmic examination on the user; performing the artificial intelligence screening on the ophthalmic examination data to obtain a screening result; determining whether the screening result is normal or not; generating an ophthalmic examination report if the screening result is normal; and uploading the ophthalmic examination data to ophthalmologists of the superior hospitals for review and generating an ophthalmic examination report according to the review if the screening result is abnormal. The invention can partly balance the ophthalmic resources between collaborative primary hospitals and superior hospitals, and achieve a large-scale and highly efficient eye disease screening with wide coverage.

Description

TECHNICAL FIELD[0001]The invention relates to the technical field of artificial intelligence medical treatment, and more particularly relates to an artificial intelligence eye disease screening service method and a system.BACKGROUND ART[0002]The imbalance between supply and demand in the medical system, which manifest as expensive medical bills and the difficulty of getting medical services, is a prevalent problem. The scarcity and unbalanced distribution of the medical resources, and a low efficiency make it impossible to meet the rapidly growing medical needs of the people.[0003]In particular to the ophthalmological field, the screening of common eye diseases primarily relies on manual services, while high-quality ophthalmic medical resources mainly locate in the superior hospitals, such as some regional large and medium-sized hospitals. This situation leads these large and medium-sized hospitals to undertake most work of screening, diagnosis and treatment for the common eye disea...

AI Technical Summary

Benefits of technology

The invention is a method and system for screening eye diseases using artificial intelligence. The goal is to make the screening process more efficient and effective in identifying potential threats to eye health. This can help balance the availability of ophthalmic medical resources between primary and superior hospitals, and provide wide coverage for eye disease screening.

Problems solved by technology

The imbalance between supply and demand in the medical system, which manifest as expensive medical bills and the difficulty of getting medical services, is a prevalent problem.

The scarcity and unbalanced distribution of the medical resources, and a low efficiency make it impossible to meet the rapidly growing medical needs of the people.

The unbalanced condition is much more severe than other large departments such as internal medicine department and surgery department, and most of the primary hospitals are not even equipped with ophthalmologists.

Therefore, the screening of common eye diseases has not been popularized due to the shortage of ophthalmologists in primary hospitals, and the resultant low coverage of community people.

But on one side, the hardware of the existing artificial intelligence aided eye disease screening system is high in cost and expertise requirement, and is more dependent on professional equipment and personnel in large and medium-sized hospitals.

Therefore, it is very difficult to introduce the existing artificial intelligence aided eye disease screening system to perform screening work in the primary hospitals in the situation that most primary hospitals lack the ophthalmic screening function and doctors with ophthalmic professional skills.

However, the existing artificial intelligence aided screening system can only screen a single disease (e.g., diabetic retinopathy) which is inadequate for the improvement of the overall screening effect of the common blind-causing eye diseases.

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